{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# torch转ONNX：Unsqueeze"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/media/pc/data/lxw/ai/tvm-book/doc/tutorials/frontend\n"
     ]
    }
   ],
   "source": [
    "%cd ../../..\n",
    "import set_env\n",
    "from d2py.utils.file import mkdir\n",
    "temp_dir = \".temp\"\n",
    "mkdir(temp_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"highlight\" style=\"background: \"><pre style=\"line-height: 125%;\"><span></span><span style=\"color: #008000; font-weight: bold\">def</span> <span style=\"color: #AA22FF\">@main</span>(<span style=\"color: #AA22FF; font-weight: bold\">%</span>images: Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">384</span>, <span style=\"color: #008000\">640</span>), float32] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">384</span>, <span style=\"color: #008000\">640</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_0<span style=\"color: #AA22FF; font-weight: bold\">.</span>images:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">-&gt;</span> Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">84</span>, <span style=\"color: #008000\">5040</span>), float32] {\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span>images, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">1</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">6</span>, <span style=\"color: #008000\">6</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_0<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, strides<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">16</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">6</span>, <span style=\"color: #008000\">6</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">192</span>, <span style=\"color: #008000\">320</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_0:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">1</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">0</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">2</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_0<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">192</span>, <span style=\"color: #008000\">320</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_0:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">2</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">192</span>, <span style=\"color: #008000\">320</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_1:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">3</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">2</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">3</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_2<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, strides<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_2:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">4</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">3</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">4</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_2<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_2:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">5</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">4</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_3:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">6</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">5</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">5</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_4<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">16</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_4:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">7</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">6</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">2</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_0<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_4:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">8</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">7</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_5:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">9</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">8</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">6</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_6<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">16</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_6:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">10</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">9</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">2</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_0<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_6:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">11</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">10</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_7:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">12</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">11</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">7</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_8<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">16</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_8:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">13</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">12</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">2</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_0<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_8:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">14</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">13</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_9:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">15</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">5</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">8</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_11<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">16</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_11:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">16</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">15</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">2</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">16</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_0<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_11:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">17</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">8</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">14</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Add_10:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">18</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">16</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_12:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">19</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">17</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">18</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_13:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">20</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">19</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_13:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">21</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">20</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">9</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_14<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_14:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">22</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">21</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">4</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_2<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_14:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">23</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">22</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">96</span>, <span style=\"color: #008000\">160</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_15:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">24</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">23</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">10</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, strides<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">25</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">24</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">26</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">25</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_17:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">27</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">26</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">12</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_18<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_18:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">28</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">27</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">4</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_2<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_18:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">29</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">28</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_19:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">30</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">29</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">13</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_20<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_20:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">31</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">30</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">4</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_2<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_20:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">32</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">31</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_21:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">33</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">32</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">14</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_22<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_22:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">34</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">33</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">4</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_2<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_22:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">35</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">34</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_23:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">36</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">29</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">35</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Add_24:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">37</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">36</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">15</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_25<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_25:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">38</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">37</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">4</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_2<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_25:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">39</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">38</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_26:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">40</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">39</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">16</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_27<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_27:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">41</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">40</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">4</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_2<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_27:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">42</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">41</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_28:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">43</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">26</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">17</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_30<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_30:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">44</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">43</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">4</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_2<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_30:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">45</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">36</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">42</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Add_29:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">46</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">44</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_31:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">47</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">45</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">46</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_32:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">48</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">47</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_32:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">49</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">48</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">18</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_33<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.4</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_33:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">50</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">49</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_33:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">51</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">50</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_34:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">52</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">51</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">19</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, strides<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">128</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">53</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">52</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">54</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">53</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_36:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">55</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">54</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">21</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_37<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_37:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">56</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">55</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_37:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">57</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">56</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_38:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">58</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">57</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">22</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_39<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_39:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">59</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">58</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_39:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">60</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">59</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_40:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">61</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">60</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">23</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_41<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_41:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">62</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">61</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_41:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">63</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">62</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_42:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">64</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">57</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">63</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Add_43:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">65</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">64</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">24</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_44<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_44:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">66</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">65</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_44:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">67</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">66</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_45:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">68</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">67</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">25</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_46<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_46:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">69</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">68</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_46:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">70</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">69</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_47:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">71</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">64</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">70</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Add_48:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">72</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">71</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">26</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_49<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_49:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">73</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">72</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_49:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">74</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">73</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_50:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">75</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">74</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">27</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_51<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_51:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">76</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">75</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_51:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">77</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">76</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_52:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">78</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">54</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">28</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_54<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_54:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">79</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">78</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_54:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">80</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">71</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">77</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Add_53:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">81</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">79</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_55:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">82</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">80</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">81</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_56:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">83</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">82</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_56:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">84</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">83</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">29</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_57<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.6</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">128</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_57:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">85</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">84</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_57:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">86</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">85</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_58:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">87</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">86</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">30</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_59<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.7</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, strides<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">256</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_59:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">88</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">87</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">31</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">256</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_59<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.7</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_59:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">89</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">88</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_60:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">90</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">89</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">32</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_61<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.8</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">128</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_61:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">91</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">90</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_61:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">92</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">91</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_62:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">93</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">92</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">33</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_63<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.8</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">128</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_63:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">94</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">93</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_63:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">95</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">94</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_64:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">96</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">95</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">34</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_65<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.8</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">128</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_65:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">97</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">96</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_65:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">98</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">97</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_66:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">99</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">89</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">35</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_68<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.8</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">128</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_68:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">100</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">99</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_68:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">101</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">92</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">98</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Add_67:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">102</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">100</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_69:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">103</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">101</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">102</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_70:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">104</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">103</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_70:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">105</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">104</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">36</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_71<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.8</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">256</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_71:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">106</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">105</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">31</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">256</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_59<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.7</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_71:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">107</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">106</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_72:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">108</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">107</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">37</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_73<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">128</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_73:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">109</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">108</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_73:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">110</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">109</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_74:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">111</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>max_pool2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">110</span>, pool_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">5</span>, <span style=\"color: #008000\">5</span>], padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>MaxPool_75:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">112</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>max_pool2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">111</span>, pool_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">5</span>, <span style=\"color: #008000\">5</span>], padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>MaxPool_76:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">113</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>max_pool2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">112</span>, pool_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">5</span>, <span style=\"color: #008000\">5</span>], padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>MaxPool_77:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">114</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">110</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">111</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">112</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">113</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_78:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">115</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">114</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">512</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_78:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">116</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">115</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">38</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">512</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_79<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.9</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">256</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_79:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">117</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">116</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">31</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">256</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_59<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.7</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_79:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">118</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">117</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_80:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">119</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">118</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">39</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_81<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.10</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">128</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_81:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">120</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">119</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_81:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">121</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">120</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_82:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">122</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> image<span style=\"color: #AA22FF; font-weight: bold\">.</span>resize2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">121</span>, size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>], roi<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>f, <span style=\"color: #008000\">0</span>f, <span style=\"color: #008000\">0</span>f, <span style=\"color: #008000\">0</span>f], method<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #BA2121\">&quot;nearest_neighbor&quot;</span>, coordinate_transformation_mode<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #BA2121\">&quot;asymmetric&quot;</span>, rounding_method<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #BA2121\">&quot;floor&quot;</span>, cubic_alpha<span style=\"color: #AA22FF; font-weight: bold\">=-</span><span style=\"color: #008000\">0.75</span>f) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Resize_84:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">123</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">122</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">86</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_85:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">124</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">123</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_85:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">125</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">124</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">40</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_86<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.13</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_86:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">126</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">125</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_86:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">127</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">126</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_87:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">128</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">127</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">41</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_88<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.13</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_88:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">129</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">128</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_88:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">130</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">129</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_89:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">131</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">130</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">42</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_90<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.13</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_90:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">132</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">131</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_90:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">133</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">124</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">43</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_92<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.13</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_92:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">134</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">133</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_92:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">135</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">132</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_91:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">136</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">134</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_93:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">137</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">135</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">136</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_94:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">138</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">137</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_94:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">139</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">138</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">44</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_95<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.13</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">128</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_95:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">140</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">139</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_95:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">141</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">140</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_96:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">142</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">141</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">45</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_97<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.14</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_97:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">143</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">142</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_97:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">144</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">143</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_98:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">145</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> image<span style=\"color: #AA22FF; font-weight: bold\">.</span>resize2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">144</span>, size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>], roi<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>f, <span style=\"color: #008000\">0</span>f, <span style=\"color: #008000\">0</span>f, <span style=\"color: #008000\">0</span>f], method<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #BA2121\">&quot;nearest_neighbor&quot;</span>, coordinate_transformation_mode<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #BA2121\">&quot;asymmetric&quot;</span>, rounding_method<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #BA2121\">&quot;floor&quot;</span>, cubic_alpha<span style=\"color: #AA22FF; font-weight: bold\">=-</span><span style=\"color: #008000\">0.75</span>f) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Resize_100:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">146</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">145</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">51</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_101:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">147</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">146</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_101:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">148</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">147</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">46</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_102<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.17</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_102:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">149</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">148</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">4</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_2<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_102:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">150</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">149</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_103:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">151</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">150</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">47</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_104<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.17</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_104:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">152</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">151</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">4</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_2<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_104:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">153</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">152</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_105:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">154</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">153</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">48</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_106<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.17</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_106:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">155</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">154</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">4</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_2<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_106:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">156</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">147</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">49</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_108<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.17</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">32</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_108:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">157</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">156</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">4</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">32</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_2<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_108:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">158</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">155</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_107:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">159</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">157</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_109:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">160</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">158</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">159</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">32</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_110:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">161</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">160</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_110:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">162</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">161</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">50</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_111<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.17</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_111:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">163</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">162</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_111:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">164</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">163</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_112:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">165</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">164</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">51</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_144<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #008000\">.0.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_144:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">166</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">165</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_144:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">167</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">166</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_145:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">168</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">167</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">52</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_146<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #008000\">.0.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_146:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">169</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">168</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_146:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">170</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">169</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_147:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">171</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">170</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">53</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_148<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #008000\">.0.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_148:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">172</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">164</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">55</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_149<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.0.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">80</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_149:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">173</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">172</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">56</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_149<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.0.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_149:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">174</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">173</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_150:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">175</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">174</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">57</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_151<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.0.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">80</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_151:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">176</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">175</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">56</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_149<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.0.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_151:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">177</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">176</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_152:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">178</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">177</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">58</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_153<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.0.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">80</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_153:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">179</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">171</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">54</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_148<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #008000\">.0.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_148:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">180</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">178</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">59</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_153<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.0.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_153:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">181</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">179</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">180</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_154:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">182</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">181</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">144</span>, <span style=\"color: #008000\">48</span>, <span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_154:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">183</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">164</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">60</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_113<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.18</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, strides<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_113:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">184</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">183</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_113:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">185</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">184</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_114:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">186</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">185</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">144</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_115:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">187</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">186</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_115:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">188</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">187</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">61</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_116<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.20</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_116:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">189</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">188</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_116:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">190</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">189</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_117:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">191</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">190</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">62</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_118<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.20</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_118:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">192</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">191</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_118:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">193</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">192</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_119:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">194</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">193</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">63</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_120<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.20</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_120:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">195</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">194</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_120:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">196</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">187</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">64</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_122<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.20</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_122:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">197</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">196</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_122:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">198</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">195</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_121:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">199</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">197</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_123:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">200</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">198</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">199</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_124:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">201</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">200</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_124:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">202</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">201</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">65</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_125<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.20</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">128</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_125:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">203</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">202</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_125:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">204</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">203</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_126:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">205</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">204</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">66</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_155<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #008000\">.1.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_155:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">206</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">205</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_155:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">207</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">206</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_156:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">208</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">207</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">67</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_157<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #008000\">.1.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_157:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">209</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">208</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_157:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">210</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">209</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_158:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">211</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">210</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">68</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_159<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #008000\">.1.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_159:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">212</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">204</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">69</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_160<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.1.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">80</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_160:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">213</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">212</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">56</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_149<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.0.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_160:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">214</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">213</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_161:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">215</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">214</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">70</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_162<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.1.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">80</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_162:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">216</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">215</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">56</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_149<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.0.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_162:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">217</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">216</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_163:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">218</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">217</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">71</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_164<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.1.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">80</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_164:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">219</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">211</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">54</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_148<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #008000\">.0.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_159:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">220</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">218</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">72</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_164<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.1.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_164:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">221</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">219</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">220</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_165:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">222</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">221</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">144</span>, <span style=\"color: #008000\">24</span>, <span style=\"color: #008000\">40</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_165:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">223</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">204</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">73</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_127<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.21</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, strides<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">2</span>], padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">128</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_127:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">224</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">223</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_127:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">225</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">224</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_128:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">226</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">225</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">121</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_129:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">227</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">226</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_129:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">228</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">227</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">74</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_130<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.23</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">128</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_130:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">229</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">228</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_130:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">230</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">229</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_131:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">231</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">230</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">75</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_132<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.23</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv1<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">128</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_132:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">232</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">231</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_132:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">233</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">232</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_133:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">234</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">233</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">76</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_134<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.23</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>m<span style=\"color: #008000\">.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">128</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_134:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">235</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">234</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_134:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">236</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">227</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">77</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_136<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.23</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">128</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_136:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">237</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">236</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">20</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">128</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_35<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.5</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_136:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">238</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">235</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_135:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">239</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">237</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_137:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">240</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">238</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">239</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">128</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_138:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">241</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">240</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_138:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">242</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">241</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">78</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_139<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.23</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">256</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_139:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">243</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">242</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">31</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">256</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_59<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.7</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_139:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">244</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">243</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_140:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">245</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">244</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">79</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_166<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #008000\">.2.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_166:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">246</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">245</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_166:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">247</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">246</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_167:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">248</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">247</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">80</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_168<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #008000\">.2.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_168:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">249</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">248</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">11</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_16<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.3</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_168:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">250</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">249</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_169:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">251</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">250</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">81</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_170<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #008000\">.2.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">64</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_170:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">252</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">244</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">82</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">256</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_171<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.2.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">80</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_171:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">253</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">252</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">56</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_149<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.0.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_171:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">254</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">253</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_172:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">255</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">254</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">83</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_173<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.2.1</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">80</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">3</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_173:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">256</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">255</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">56</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_149<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.0.0</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_173:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">257</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>relu(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">256</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Relu_174:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">258</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">257</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">84</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_175<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.2.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">80</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_175:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">259</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">251</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">54</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">64</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_148<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv2<span style=\"color: #008000\">.0.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_170:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">260</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>bias_add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">258</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">85</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">80</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_175<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>cv3<span style=\"color: #008000\">.2.2</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>bias:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_175:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">261</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">259</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">260</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_176:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">262</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">261</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">144</span>, <span style=\"color: #008000\">12</span>, <span style=\"color: #008000\">20</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_176:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">263</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> reshape(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">182</span>, newshape<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">144</span>, <span style=\"color: #AA22FF; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">144</span>, <span style=\"color: #008000\">3840</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Reshape_309:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">264</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> reshape(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">222</span>, newshape<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">144</span>, <span style=\"color: #AA22FF; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">144</span>, <span style=\"color: #008000\">960</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Reshape_312:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">265</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> reshape(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">262</span>, newshape<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">144</span>, <span style=\"color: #AA22FF; font-weight: bold\">-</span><span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">144</span>, <span style=\"color: #008000\">240</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Reshape_315:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">266</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">263</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">264</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">265</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">144</span>, <span style=\"color: #008000\">3840</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">144</span>, <span style=\"color: #008000\">960</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">144</span>, <span style=\"color: #008000\">240</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_316:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">267</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">266</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">2</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">144</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_316:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">268</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> split(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">267</span>, indices_or_sections<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">64</span>], axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">5040</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">5040</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Split_317:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">269</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">268.0</span> <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">64</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Split_317:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">270</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> reshape(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">269</span>, newshape<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">4</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">5040</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">4</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Reshape_327:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">271</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> transpose(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">270</span>, axes<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">2</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">5040</span>, <span style=\"color: #008000\">4</span>, <span style=\"color: #008000\">16</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Transpose_328:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">272</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>softmax(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">271</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">3</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">5040</span>, <span style=\"color: #008000\">4</span>, <span style=\"color: #008000\">16</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Softmax_329:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">273</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> transpose(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">272</span>, axes<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">3</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">4</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Transpose_330:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">274</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> nn<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv2d(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">273</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">86</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">16</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_331<span style=\"color: #AA22FF; font-weight: bold\">.</span>model<span style=\"color: #008000\">.24</span><span style=\"color: #AA22FF; font-weight: bold\">.</span>dfl<span style=\"color: #AA22FF; font-weight: bold\">.</span>conv<span style=\"color: #AA22FF; font-weight: bold\">.</span>weight:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, padding<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>, <span style=\"color: #008000\">0</span>], channels<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>, kernel_size<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">4</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Conv_331:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">275</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> reshape(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">274</span>, newshape<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">4</span>, <span style=\"color: #008000\">5040</span>]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">4</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Reshape_335:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">276</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> strided_slice(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">275</span>, begin<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">0</span>i64], end<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>i64], strides<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>i64], axes<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>i64]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Slice_347:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">277</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> strided_slice(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">275</span>, begin<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">2</span>i64], end<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">4</span>i64], strides<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>i64], axes<span style=\"color: #AA22FF; font-weight: bold\">=</span>[<span style=\"color: #008000\">1</span>i64]) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Slice_350:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">278</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> subtract(meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">0</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Unsqueeze_336:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">276</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Sub_351:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">279</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> add(meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">0</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Unsqueeze_336:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">277</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Add_352:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">280</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> add(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">278</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">279</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Add_353:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">281</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> divide(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">280</span>, <span style=\"color: #008000\">2</span>f <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>float32 span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Div_354<span style=\"color: #008000\">.559</span>:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Div_354:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">282</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> subtract(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">279</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">278</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Sub_355:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">283</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">281</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">282</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">5040</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">2</span>, <span style=\"color: #008000\">5040</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_356:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">284</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">283</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">4</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_356:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">285</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">268.1</span> <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Split_317:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">286</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> multiply(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">284</span>, meta[relay<span style=\"color: #AA22FF; font-weight: bold\">.</span>Constant][<span style=\"color: #008000\">87</span>] <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Transpose_306:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">4</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Mul_357:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">287</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> sigmoid(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">285</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Sigmoid_358:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">288</span> <span style=\"color: #AA22FF; font-weight: bold\">=</span> (<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">286</span>, <span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">287</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>(Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">4</span>, <span style=\"color: #008000\">5040</span>), float32], Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">80</span>, <span style=\"color: #008000\">5040</span>), float32]) span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_359:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>;\n",
       "  concatenate(<span style=\"color: #AA22FF; font-weight: bold\">%</span><span style=\"color: #008000\">288</span>, axis<span style=\"color: #AA22FF; font-weight: bold\">=</span><span style=\"color: #008000\">1</span>) <span style=\"color: #AA22FF; font-weight: bold\">/*</span> ty<span style=\"color: #AA22FF; font-weight: bold\">=</span>Tensor[(<span style=\"color: #008000\">1</span>, <span style=\"color: #008000\">84</span>, <span style=\"color: #008000\">5040</span>), float32] span<span style=\"color: #AA22FF; font-weight: bold\">=</span>Concat_359:<span style=\"color: #008000\">0</span>:<span style=\"color: #008000\">0</span> <span style=\"color: #AA22FF; font-weight: bold\">*/</span>\n",
       "}\n",
       "</pre></div>\n"
      ],
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       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import onnx\n",
    "import tvm\n",
    "from tvm import relay\n",
    "path = \"/media/pc/data/board/arria10/lxw/tasks/tools/npu_user_demos/models/telecom/vehile_det_traffic_yolov5n/yolov5n_384_640_.onnx\"\n",
    "onnx_model = onnx.load(path)\n",
    "\n",
    "# 模型配置\n",
    "ENV = {\n",
    "    \"model_type\": \"onnx\",\n",
    "    \"input_name\": \"images\",\n",
    "    \"channel\": 3,\n",
    "    \"height\": 384, \n",
    "    \"width\": 640,\n",
    "    \"mode\": \"RGB\", # 输入图片格式\n",
    "    \"mean\": (0,),\n",
    "    \"std\": (1,)\n",
    "}\n",
    "shape = 1, ENV[\"channel\"], ENV[\"height\"], ENV[\"width\"]\n",
    "mod, params = relay.frontend.from_onnx(onnx_model, {ENV[\"input_name\"]: shape}, freeze_params=True)\n",
    "# with tvm.transform.PassContext(opt_level=3):\n",
    "#     mod = relay.quantize.prerequisite_optimize(mod, params)\n",
    "mod.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with tvm.transform.PassContext(opt_level=3):\n",
    "    with relay.quantize.qconfig(\n",
    "        skip_conv_layers=[],\n",
    "        # calibrate_mode=\"kl_divergence\", \n",
    "        weight_scale=\"max\",\n",
    "        # round_for_shift=True,\n",
    "        # rounding=\"TONEAREST\", # \"UPWARD\" or \"TONEAREST\"\n",
    "        # calibrate_skip_layers=[],\n",
    "        skip_dense_layer=False,\n",
    "    ):\n",
    "        qmod = relay.quantize.quantize(mod, params)\n",
    "qmod.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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